Howden Re

Compensation

Full Description

The Howden Re Decision Support Team (Modeling and Analytics) is unmatched in the industry in facilitating catastrophe reinsurance placements while also being integrally embedded within our clients' operations. Howden Re employs cutting-edge technology in a collaborative environment, striving always to develop solutions and present ideas that align with our clients' core philosophy of profitable growth. Primary Responsibilities • Provide strong technical and strategic CAT (catastrophe) risk management and modeling support for building tools and in special client projects. • Serve as a key member of the product development team, contributing to the creation and enhancement of internal and client-facing tools and applications. • Providing deep understanding of CAT modeling results, assumptions and limitations with vendor and non-vendor models. • Collect and analyze data for properties at risk of natural catastrophes. • Perform advanced analytical tasks to validate Extreme Event Model outputs. • Communicate analytical ideas using visualization tools such as maps and charts to internal and external clients. Qualifications • Bachelor’s or advanced degree in Mathematics, Statistics, Computer Science, Economics, Finance, or a related analytical discipline. • 0to 4 years experience in related field • Strong critical thinking and problem-solving skills, with a methodical approach to tackling complex challenges. • Proficient in Python and SQL, with the ability to write clean, scalable, and maintainable code. • Ability to develop and implement automated processes to enhance efficiency and accuracy. • Skilled in working with existing codebases as well as designing and building new tools from the ground up. • Familiarity with front-end technologies including HTML, CSS, and JavaScript. • Experience with modern web development frameworks such as React, Angular, or Vue.js is a plus. • Effective at managing multiple projects and priorities in a fast-paced, deadline-driven environment. • Proven experience in data manipulation, cleansing, and analysis, including working with datasets of varying quality and structure. • Experience in designing and validating numerical probabilistic models. • Demonstrated ability and enthusiasm for learning and applying cutting-edge analytical techniques. • Strong collaboration skills, with experience working effectively in cross-functional teams and communicating across departments. • Excellent written and verbal communication skills, with proficiency in PowerPoint, Excel, and Word for presenting insights and documentation. • Exposure to Geographic Information Systems (GIS) is a plus. • Must be legally authorized to work in the United States.